Climate change and cutaneous leishmaniasis in the province of Ghardaïa in Algeria: A model-based approach to predict disease outbreaks.

Ann Saudi Med · 2023 · PMC10560365 · PMID 37805813

Europe PMC DOI

hedged sentences

0.0050

closest p · 0.1× alpha

0.0050

boldest claim

The sentences

weakly significantP >.005actually significant

In GAM_02, which included a temporal variable “year” in addition to the environmental predictors, humidity, vegetation index and the temporal predictor were statistically significant predictors ( P <.005), while the effect of wind speed was weakly significant in this model ( P >.005).

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highly significantno p-value reported

We found a highly significant correlation coefficient and both GAMs confirmed the relationship with very significant P values and EDFs.

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